Towards AI

APRIL 7, 2024

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are two examples of deep learning methods that are being used more and more in GIS applications.

Machine Learning 104

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 104

NYU Center for Data Science

JULY 13, 2023

She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization. In summer 2022, she gave a talk at a MetaAI group seminar on out-of-distribution generalization.

Neural Network 81

Neural Network Deep Learning Machine Learning AI 81

NYU Center for Data Science

AUGUST 24, 2023

The group, however, quickly became well-known for a seminar that still serves as its flagship: the MaD seminar. Bruna and the early organizers of the MaD group crafted this seminar to be a nexus of research on the theoretical foundations of data science and machine learning. Bruna compared a neural net to gas in a room.

Neural Network 81

Neural Network Data Science Machine Learning Explainability 81

Towards AI

JANUARY 31, 2023

Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Join us for free, interactive video sessions hosted live on Discord weekly by attending our upcoming events.

Neural Network 52

Neural Network ChatGPT AI AI 52

Dlabs.ai

AUGUST 20, 2020

Deep Learning with PyTorch Authors: Eli Stevens, Luca Antiga, Thomas Viehmann If you’re planning to build neural networks with PyTorch, you’ll want to begin your journey with this popular, open-source machine learning framework. Then, show you how to build a deep neural network from scratch.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Hal Daumé III

DECEMBER 9, 2016

I ran a grad seminar in reinforcement learning this past semester , which was a lot of fun and also gave me an opportunity to catch up on some stuff I'd been meaning to learn but haven't had a chance and old stuff I'd largely forgotten about.

Neural Network 40

Neural Network Robotics Computer Vision Algorithm 40

Allen AI

NOVEMBER 8, 2023

We are in the process of fine-tuning and testing a new collection of deep neural networks designed and trained in-house that autonomously reviews all of the available information (GPS, vessel photos, wind and wave data, satellite imagery, and more). Real-life vessel monitoring with my son.

Computer Vision 52

Computer Vision ML Engineer ML Neural Network 52